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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Job Description

Structured overview of role & requirements

Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Job Description

Structured overview of role & requirements

Lead Software Engineer Java Spring boor Gen AI

JPMorgan Chase & Co.

Direct Career PageEst. 35–60 LPA

Posted 21h ago

Match Score

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Protocol Intelligence

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Tier-1 employer and Mumbai metro location create moderate applicant competition.

Background Fit Sensitivity

(High)

Requires deep backend, distributed systems, and production ML experience, reducing cross-industry transferability.

Shortlisting Strictness

(High)

Explicit 9+ years, mandatory Java/Spring, distributed systems, and MLOps requirements make shortlisting stringent.

Job Description

Structured overview of role & requirements

About This Role

Own end-to-end solution architecture for applications, APIs, data, integrations, and environments from development to production.

Lead design, development, and delivery of Java Spring Boot and Python software solutions including AI/ML inference pipelines and production patterns.

Drive production issue triage, root cause analysis, and enforce engineering standards for secure, scalable, and compliant software delivery.

Minimum Requirements

9+ years of applied software engineering experience with formal training or certification.

Strong expertise in Java 11/17+, Spring Boot microservices, API design, and Python 3.x for services and AI/ML integration.

Experience with distributed systems including microservices, event-driven architecture, messaging/streaming platforms like Kafka.

Practical production experience with AI/ML model serving, MLOps concepts, and secure, resilient systems suitable for regulated environments.

Ideal Candidate Profile

Experienced in architecting and delivering enterprise-grade distributed microservices with strong data architecture skills including relational and NoSQL databases.

Proficient in implementing AI/ML production patterns collaboratively with Data Science teams and driving operational excellence.

Skilled in modern DevOps practices, CI/CD, automated testing, and capable of leading technical teams through complex technical challenges and stakeholder alignment.

Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Job Description

Structured overview of role & requirements

Lead Software Engineer Java Spring boor Gen AI at JPMorgan Chase & Co. – Mumbai · Protocol Jobs

Lead Software Engineer Java Spring boor Gen AI

JPMorgan Chase & Co.

Direct Career PageEst. 35–60 LPA

Posted 21h ago

Match Score

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Protocol Intelligence

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Tier-1 employer and Mumbai metro location create moderate applicant competition.

Background Fit Sensitivity

(High)

Requires deep backend, distributed systems, and production ML experience, reducing cross-industry transferability.

Shortlisting Strictness

(High)

Explicit 9+ years, mandatory Java/Spring, distributed systems, and MLOps requirements make shortlisting stringent.

Job Description

Structured overview of role & requirements

About This Role

Own end-to-end solution architecture for applications, APIs, data, integrations, and environments from development to production.

Lead design, development, and delivery of Java Spring Boot and Python software solutions including AI/ML inference pipelines and production patterns.

Drive production issue triage, root cause analysis, and enforce engineering standards for secure, scalable, and compliant software delivery.

Minimum Requirements

9+ years of applied software engineering experience with formal training or certification.

Strong expertise in Java 11/17+, Spring Boot microservices, API design, and Python 3.x for services and AI/ML integration.

Experience with distributed systems including microservices, event-driven architecture, messaging/streaming platforms like Kafka.

Practical production experience with AI/ML model serving, MLOps concepts, and secure, resilient systems suitable for regulated environments.

Ideal Candidate Profile

Experienced in architecting and delivering enterprise-grade distributed microservices with strong data architecture skills including relational and NoSQL databases.

Proficient in implementing AI/ML production patterns collaboratively with Data Science teams and driving operational excellence.

Skilled in modern DevOps practices, CI/CD, automated testing, and capable of leading technical teams through complex technical challenges and stakeholder alignment.